# Genexxis Research Paper Search

> Genexxis Research Paper Search is a paid API for AI agents from research.genexxis.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-30).

Search and retrieve merged, de-duplicated scholarly papers across OpenAlex, arXiv, and Crossref with metadata including title, authors, DOI, citation count, open-access PDF links, and abstracts.

## Facts

- Endpoint: GET https://research.genexxis.com/papers?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/genexxis-research-paper-search-25f93fc5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tc1YUr7VXubCXjHmn7Yyh

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability genexxis-research-paper-search-25f93fc5
```

Example prompt: Search for papers on transformer attention mechanisms, sorted by citation count, limited to 2017–2023, open-access only — give me the top 10 results including titles, authors, abstracts, and PDF links.

## When to prefer this

Choose this endpoint when you need to search across multiple academic databases simultaneously and want de-duplicated results in a single call. It is ideal for broad literature discovery, finding open-access papers, or when you don't know which specific database holds the papers you need. Prefer it over single-source APIs when coverage and deduplication matter. It is not suited for fetching a single known paper by ID (use the sibling detail endpoint) or for mapping citation networks (use the citation neighbourhood endpoint).

## Known failure modes

- Missing required 'q' query parameter returns an error
- Invalid sort value (not relevance/citations/date) may be ignored or cause an error
- Invalid source filter (not all/openalex/arxiv/crossref) may default or error
- maxItems outside 1-50 range may be clamped or rejected
- Partial source failures are surfaced in the 'errors' array while other sources still return results
- No results found returns count:0 and an empty papers array
- Rate limiting or payment failure returns HTTP 402

## How this service works

Search scholarly papers across OpenAlex, arXiv and Crossref (merged, de-duplicated): title, authors, year, venue, DOI, arXiv id, citation count, open-access PDF link, abstract, topics.

## Output

A JSON object containing a list of matched papers (up to 50), each with title, authors list, total author count, publication year and date, venue, DOI, arXiv ID, OpenAlex ID, abstract, topic tags, citation count, open-access status and PDF URL, and links to DOI/arXiv/OpenAlex pages. Also includes the echoed query parameters, total match counts per source (OpenAlex, arXiv, Crossref), any source errors encountered, and a timestamp.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "q"
     ],
     "properties": {
      "q": {
       "type": "string",
       "description": "Search query (keywords or title)"
      },
      "sort": {
       "type": "string",
       "description": "relevance | citations | date (default relevance)"
      },
      "source": {
       "type": "string",
       "description": "all | openalex | arxiv | crossref (default all)"
      },
      "toYear": {
       "type": "string",
       "description": "Latest publication year"
      },
      "fromYear": {
       "type": "string",
       "description": "Earliest publication year, e.g. 2020"
      },
      "maxItems": {
       "type": "string",
       "description": "1-50, default 10"
      },
      "openAccess": {
       "type": "string",
       "description": "true to keep only open-access papers"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "asOf": "2026-10-25T03:00:00.000Z",
  "count": 5,
  "query": {
   "q": "transformer attention",
   "sort": "relevance",
   "source": "all",
   "maxItems": 5
  },
  "errors": [],
  "papers": [
   {
    "doi": "10.48550/arxiv.1706.03762",
    "type": "preprint",
    "year": 2017,
    "links": {
     "doi": "https://doi.org/10.48550/arxiv.1706.03762",
     "arxiv": "https://arxiv.org/abs/1706.03762",
     "openalex": "https://openalex.org/W2626778328"
    },
    "title": "Attention Is All You Need",
    "venue": "arXiv",
    "topics": [
     "Natural Language Processing Techniques",
     "Topic Modeling",
     "Speech Recognition and Synthesis"
    ],
    "arxivId": "1706.03762",
    "authors": [
     "Ashish Vaswani",
     "Noam Shazeer",
     "Niki Parmar"
    ],
    "foundIn": [
     "openalex",
     "arxiv"
    ],
    "abstract": "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...",
    "openAccess": {
     "isOa": true,
     "pdfUrl": "https://arxiv.org/pdf/1706.03762",
     "status": "green",
     "landingUrl": "https://arxiv.org/abs/1706.03762"
    },
    "openalexId": "W2626778328",
    "authorsTotal": 8,
    "citedByCount": 78297,
    "publicationDate": "2017-06-12"
   }
  ],
  "totalMatchesBySource": {
   "arxiv": 18000,
   "crossref": 285486,
   "openalex": 212345
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/genexxis-research-paper-search-25f93fc5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from research.genexxis.com](https://www.zero.xyz/host/research.genexxis.com/llms.txt)